一种盲信号分离算法的改进研究

Study of Improvement of Blind Signal Separation Algorithm

盲信号分离在信号处理领域中逐渐变得重要起来,其为混合信号的分离提供一种较好的途径。独立分量分析是盲信号分离中的主流方法之一,其中的快速ICA算法更是具有分离效果好、收敛速度快的特点,具有广泛的应用。本文介绍盲信号分离的基本原理,详细阐述快速ICA算法,并且根据快速ICA算法应用中的局限性做出一些改进,取得较好的效果。

The blind signal separation has gradually become important in signal processing, for it providing a better way to sepa- rate mixed-signals. In the blind signal separation, one of the mainstream methods is the independent component analysis, of which fast ICA is in wide use for its good separation effect and fast convergence. This paper describes the basic principles of blind signal separation, and details of the fast ICA algorithm. Also, it makes some improvements in allusion to the limitations of fast ICA, and achieves good results.